Essays about: "micro problems problems"

Showing result 1 - 5 of 124 essays containing the words micro problems problems.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. Inside the Future of Shopping Malls - Logistics Approaches for Enhancing the Collection Efficiency of Online Retail Orders from Shopping Malls by Delivery Agents

    University essay from Göteborgs universitet/Graduate School

    Author : Julia Krajka; Kaisa Nordlund; [2023-07-03]
    Keywords : Urban Logistics; Retail; Shopping Malls; Gig Economy; Last Mile Delivery; E-commerce; Automation; Micro-hubs; Parcel Lockers; Consumption Behavior; Stakeholder Management;

    Abstract : Background: The rise of e-commerce has revolutionized the retail industry, with consumers now able to purchase goods online and receive their orders promptly at their doorstep. The COVID-19 pandemic has accelerated this trend, leading to traditional retailers reimagining their strategies and embracing omnichannel approaches to meet the growing demand for fast deliveries. READ MORE

  4. 3. The Operational Strategy Optimization of Distributed Energy System Based on MATLAB : A case study in Northeast China

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Yujun Han; [2023]
    Keywords : Distributed Energy System; CCHP; operational strategy; Distribuerat energisystem; CCHP; operativ strategi;

    Abstract : China is the largest energy consumer worldwide, with a fast-growing rate. But the energy and environmental problems brought by its unbalanced energy structure and low energy efficiency restrict the sustainable development of China. The Distributed Energy System (DES) is one of the internationally recognized solutions to the problems. READ MORE

  5. 4. Micro Crops & The Iterative Wave

    University essay from Göteborgs universitet/HDK-Valand - Högskolan för konst och design

    Author : Brianna Butler; Andrea Bindar; [2023]
    Keywords : Design; Aesthetic objects; system; Microplastics; Wicked problems; MFA in Design with specialisation in Embedded Design;

    Abstract : The current approach to facilitation has numerous benefits but lacks sufficient challenge in raising awareness about wicked problems. This paper discusses the authors’ master thesis project, conducted in collaboration with the organizational context of a plastic-free store in the Gothenburg area. READ MORE

  6. 5. Low-power Implementation of Neural Network Extension for RISC-V CPU

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE